Results 41 to 50 of about 6,791 (190)
HOAX DETECTION IN INDONESIA LANGUAGE USING LONG SHORT-TERM MEMORY MODEL
Jurnal Ilmiah SINERGI, 2020 Nowadays, the internet and social media grow fast. This condition has positive and negative effects on society. They become media to communicate and share information without limitation.
Andi Apriliyanto, Retno Kusumaningrum
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Models of lexical semantics in the algorithms for natural language processing [PDF]
Zbornik Radova Filozofskog Fakulteta u Prištini, 2021 The aim of this study was to determine whether some of the approaches of lexical semantics for studying word meaning could be identified in word2vec and recurrent neural networks (RNN), the algorithms for natural language processing (NLP).
Dilparić Branislava M. +1 more
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Word2vec Conjecture and A Limitative Result
CoRR, 2020 Being inspired by the success of \texttt{word2vec} \citep{mikolov2013distributed} in capturing analogies, we study the conjecture that analogical relations can be represented by vector spaces. Unlike many previous works that focus on the distributional semantic aspect of \texttt{word2vec}, we study the purely \emph{representational} question: can \emph{
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Frontiers in Psychology, 2022 While we cannot directly measure the psychological preferences of individuals, and the moral, emotional, and cognitive tendencies of people from the past, we can use cultural artifacts as a window to the zeitgeist of societies in particular historical ...
Mauricio de Jesus Dias Martins +1 more
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Word embedding for social sciences: an interdisciplinary survey [PDF]
PeerJ Computer ScienceMachine learning models learn low-dimensional representations from complex high-dimensional data. Not only computer science but also social science has benefited from the advancement of these powerful tools.
Akira Matsui, Emilio Ferrara
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Techno.Com, 2023 Tranportasi merupakan hal yang penting bagi masyarakat dalam mobilitas sehari-hari. Karena memiliki peranan penting dan dapat memudahkan kehidupan masyarakat, pemerintah mulai mengoptimalkan pembangunan sarana transportasi dan memulai inovasi digital ...
Mega Vebika Shyahrin +2 more
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Connection Science, 2022 The word embedding model word2vec tends to ignore the importance of a single word to the entire document, which affects the accuracy of the news text classification method.
Weidong Zhao +4 more
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Opening the Black Box: Finding Osgood’s Semantic Factors in Word2vec Space
Информатика и автоматизация, 2022 State-of-the-art models of artificial intelligence are developed in the black-box paradigm, in which sensitive information is limited to input-output interfaces, while internal representations are not interpretable.
Ilya Surov
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Temporal Analysis on Topics Using Word2Vec
CoRR, 2022 The present study proposes a novel method of trend detection and visualization - more specifically, modeling the change in a topic over time. Where current models used for the identification and visualization of trends only convey the popularity of a singular word based on stochastic counting of usage, the approach in the present study illustrates the ...
Sandhu, Angad +4 more
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Using Word2Vec Recommendation for Improved Purchase Prediction [PDF]
2020 International Joint Conference on Neural Networks (IJCNN), 2020 Purchase prediction can help e-commerce planners plan their stock and personalised offers. Word2Vec is a well-known method to explore word relations in sentences for sentiment analysing by creating vector representation of words. Word2Vec models are used in many works for product recommendations.
Ramazan Esmeli +2 more
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